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14.0.2\n", + " Uninstalling pyarrow-14.0.2:\n", + " Successfully uninstalled pyarrow-14.0.2\n", + "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", + "cudf-cu12 24.4.1 requires pyarrow<15.0.0a0,>=14.0.1, but you have pyarrow 18.0.0 which is incompatible.\n", + "ibis-framework 8.0.0 requires pyarrow<16,>=2, but you have pyarrow 18.0.0 which is incompatible.\u001b[0m\u001b[31m\n", + "\u001b[0mSuccessfully installed datasets-3.1.0 dill-0.3.8 multiprocess-0.70.16 pyarrow-18.0.0 seqeval-1.2.2 xxhash-3.5.0\n" + ] + } + ], + "source": [ + "!pip install transformers datasets seqeval huggingface_hub\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "amREIFSH-z7r" + }, + "outputs": [], + "source": [ + "# Standard library imports\n", + "import os # Provides functions for interacting with the operating system\n", + "import warnings # Used to handle or suppress warnings\n", + "import numpy as np # Essential for numerical operations and array manipulation\n", + "import torch # PyTorch library for tensor computations and model handling\n", + "import ast # Used for safe evaluation of strings to Python objects (e.g., parsing tokens)\n", + "\n", + "# Hugging Face and Transformers imports\n", + "from datasets import load_dataset # Loads datasets for model training and evaluation\n", + "from transformers import (\n", + " AutoTokenizer, # Initializes a tokenizer from a pre-trained model\n", + " DataCollatorForTokenClassification, # Handles padding and formatting of token classification data\n", + " TrainingArguments, # Defines training parameters like batch size and learning rate\n", + " Trainer, # High-level API for managing training and evaluation\n", + " AutoModelForTokenClassification, # Loads a pre-trained model for token classification tasks\n", + " get_linear_schedule_with_warmup, # Learning rate scheduler for gradual warm-up and linear decay\n", + " EarlyStoppingCallback # Callback to stop training if validation performance plateaus\n", + ")\n", + "\n", + "# Hugging Face Hub\n", + "from huggingface_hub import login # Allows logging in to Hugging Face Hub to upload models\n", + "\n", + "# seqeval metrics for NER evaluation\n", + "from seqeval.metrics import precision_score, recall_score, f1_score, classification_report\n", + "# Provides precision, recall, F1-score, and classification report for evaluating NER model performance\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "executionInfo": { + "elapsed": 6, + "status": "ok", + "timestamp": 1730569738838, + "user": { + "displayName": "Ismat Samadov", + "userId": "13714662825869203427" + }, + "user_tz": -240 + }, + "id": "K7adlboI-z4p", + "outputId": "a4306ab9-b7d5-4108-e3f6-1edc4899694f" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The token has not been saved to the git credentials helper. Pass `add_to_git_credential=True` in this function directly or `--add-to-git-credential` if using via `huggingface-cli` if you want to set the git credential as well.\n", + "Token is valid (permission: fineGrained).\n", + "Your token has been saved to /root/.cache/huggingface/token\n", + "Login successful\n" + ] + } + ], + "source": [ + "# Log in to Hugging Face Hub\n", + "login(token=\"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\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "Qccgsjfs-zzA" + }, + "outputs": [], + "source": [ + "# Disable WandB (Weights & Biases) logging to avoid unwanted log outputs during training\n", + "os.environ[\"WANDB_DISABLED\"] = \"true\"\n", + "\n", + "# Suppress warning messages to keep output clean, especially during training and evaluation\n", + "warnings.filterwarnings(\"ignore\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 576, + "referenced_widgets": [ + "7de65e247932425882a27257bf77b913", + "228bb22c294f4fd1a08910c080586e65", + "1b3d4b4f685f47f5b4cd1a83e76330c0", + "3d96ee9792cf4ba5b57b7858678985bb", + "84a7d8ad32da45c792d570a918f136d6", + "c8b59cd42f04425e8de6f832acff43a4", + "5546cbf48870406ca3e93e6ebed6487b", + "f553dfdc8cf441a6990a8dc2126e55e5", + "dcfd93ce24474f639418c7f2b56ce101", + "7a14fd2365fa40ac92e8851019639a46", + "804273498d974d388585d2f8769db2cb", + "a0d5b69380ab4cccbe9fa9555e733d29", + "a5f12e46915c4c7dbd92a8e6866a2136", + "9d2dd1835a6d436abdda27377c39951d", + "bde988b2464c49e38d9d660124e1a1ca", + "6786dbb578764ecbb07549f99284e872", + "1a4a5ae499224227b594f7e44ec05626", + "d71e12cac7384779b7cf6deccdec6205", + "6dd8528c7a8c4cf59a8be94ea2eec2ac", + "e53b7766d65f4f31a000d433fe1718d8", + "ee5a83f45127475496dbb8347c2e3b9e", + "998183d1e43d4b58b6d49796dd6c65d2", + "e2baeb32f3bb47aeab3d6ebf3a5e8876", + "6d2ed7f8c8e54d32b94a410de93bebb4", + "b42331f0c0ca417ea779764f7c7b91a6", + "77528b7a72024e3ba2c03f495188b091", + "4d770190eebf44e59e4c85598c48bb5e", + "f1247d8b523e4d03bf802ea761090255", + "dc951346b3d742d7861929d4d4bd69db", + "2e185b6e38e348919accedcf54fe32ec", + "daa89fa3059144ceaf95c8d8d209c59d", + "371faab019ee49d78fa2547a65fc68b9", + "30f20a8152e3450cb5c0c5300f2a677b", + "fba60dcd62c04b53acba3c371d926149", + "844335f761134693ae7aff60803dc62a", + "0835d840cd7a4444b477187796df6ab1", + "0b430c3c4ff641a38e4a6603b30dfdf0", + "e68c8857489c4b5e83c52b12d32b71e6", + "9a688924cb2b4a9c984eddee5d6e57d7", + "a2681b1b407e45dbb2277685ad082fd3", + "c324af888b614caa9cead361c9decafe", + "542aeebec2144a79b36baa0fdfb4bc32", + "975acf8253a3411293d961167054e7f0", + "1c184b2b6c164ac4965182b4dd760faa" + ] + }, + "executionInfo": { + "elapsed": 23970, + "status": "ok", + "timestamp": 1730569762804, + "user": { + "displayName": "Ismat Samadov", + "userId": "13714662825869203427" + }, + "user_tz": -240 + }, + "id": "fQ6ttUM8-zwM", + "outputId": "a7edc99a-0064-4378-ab18-c31f29c9b727" + }, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "7de65e247932425882a27257bf77b913", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "README.md: 0%| | 0.00/2.87k [00:00\n", + " \n", + " \n", + " [ 9800/11200 19:26 < 02:46, 8.40 it/s, Epoch 7/8]\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
EpochTraining LossValidation LossPrecisionRecallF1
10.3231000.2755030.7757990.6948860.733117
20.2725000.2624810.7392660.7399000.739583
30.2486000.2524980.7514780.7411520.746280
40.2368000.2499680.7548820.7414490.748105
50.2238000.2521870.7643900.7404600.752235
60.2186000.2498870.7563520.7416460.748927
70.2097000.2507480.7606960.7394380.749916

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Adjusting predicted entities.\")\n", + " pred_labels = pred_labels[:len(true_labels[i])]\n", + " predictions.append(pred_labels)\n", + " if all(len(true) == len(pred) for true, pred in zip(true_labels, predictions)):\n", + " precision = precision_score(true_labels, predictions)\n", + " recall = recall_score(true_labels, predictions)\n", + " f1 = f1_score(true_labels, predictions)\n", + " print(\"Precision:\", precision)\n", + " print(\"Recall:\", recall)\n", + " print(\"F1-Score:\", f1)\n", + " print(classification_report(true_labels, predictions))\n", + " else:\n", + " print(\"Error: Could not align all samples correctly for evaluation.\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "executionInfo": { + "elapsed": 5, + "status": "ok", + "timestamp": 1730571073034, + "user": { + "displayName": "Ismat Samadov", + "userId": "13714662825869203427" + }, + "user_tz": -240 + }, + "id": "WRCB-_66_buE", + "outputId": "c9a05d33-6fa4-4bae-93a0-04bf325683f8" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Precision: 0.5\n", + "Recall: 0.5\n", + "F1-Score: 0.5\n", + " precision recall f1-score support\n", + "\n", + " LOCATION 0.00 0.00 0.00 0\n", + "ORGANISATION 0.00 0.00 0.00 1\n", + " PERSON 1.00 1.00 1.00 1\n", + "\n", + " micro avg 0.50 0.50 0.50 2\n", + " macro avg 0.33 0.33 0.33 2\n", + "weighted avg 0.50 0.50 0.50 2\n", + "\n" + ] + } + ], + "source": [ + "test_texts = [\"Shahla Khuduyeva və Pasha Sığorta şirkəti haqqında məlumat.\"]\n", + "true_labels = [[\"B-PERSON\", \"B-ORGANISATION\"]]\n", + "evaluate_model(test_texts, true_labels)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "x53zS3Vv_brU" + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "5Uoebirj_boo" + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "RKounG2l_bl5" + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "accelerator": "GPU", + "colab": { + "authorship_tag": "ABX9TyNEIe3MLYmbuVlh01xxHiZi", + "gpuType": "A100", + "machine_shape": "hm", + "mount_file_id": "1EYYZa7dya2RjTZXHSJ4pzIOgzqR8lmSk", + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3", + "name": "python3" + }, + "language_info": { + "name": "python" + }, + "widgets": { + "application/vnd.jupyter.widget-state+json": { + "0137fa7d552b4a00bd816a0f54ebcee3": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + 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